flutter-performance▌
flutter/skills · updated Jun 13, 2026
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Identifies and eliminates performance bottlenecks in Flutter apps through systematic profiling and targeted optimization.
- ›Provides a decision tree to diagnose jank on UI thread, Raster (GPU) thread, or both, with specific fixes for each
- ›Includes integration test templates using traceAction and TimelineSummary to establish performance baselines and measure frame budgets
- ›Covers UI optimization (localizing state, const constructors, StringBuffer usage) and Raster optimization (replacing
Flutter Performance Optimization
Goal
Analyzes and optimizes Flutter application performance by identifying jank, excessive rebuilds, and expensive rendering operations. Implements best practices for UI rendering, state management, and layout constraints. Utilizes Flutter DevTools, Chrome DevTools (for web), and integration tests to generate actionable performance metrics, ensuring frames render within the strict 16ms budget.
Decision Logic
Evaluate the target application using the following decision tree to determine the optimization path:
- Is the goal to establish a performance baseline?
- Yes: Implement an integration test using
traceActionandTimelineSummary. - No: Proceed to step 2.
- Yes: Implement an integration test using
- Is the application running on Web?
- Yes: Enable
debugProfileBuildsEnabledand use Chrome DevTools Performance panel. - No: Run the app on a physical device in
--profilemode and launch Flutter DevTools.
- Yes: Enable
- Which thread is showing jank (red bars > 16ms) in the DevTools Performance View?
- UI Thread: Optimize
build()methods, localizesetState(), useconstconstructors, and replace string concatenation withStringBuffer. - Raster (GPU) Thread: Minimize
saveLayer(),Opacity,Clip, andImageFilterusage. Pre-cache complex images usingRepaintBoundary. - Both: Start by optimizing the UI thread (Dart VM), as expensive Dart code often cascades into expensive rendering.
- UI Thread: Optimize
Instructions
-
Establish a Performance Baseline To measure performance programmatically, create an integration test that records a performance timeline. STOP AND ASK THE USER: "Do you want to run a baseline integration test to capture timeline metrics before optimizing?" If yes, implement the following exact driver and test implementation:
test_driver/perf_driver.dart (Immutable operation):
import 'package:flutter_driver/flutter_driver.dart' as driver; import 'package:integration_test/integration_test_driver.dart'; Future<void> main() { return integrationDriver( responseDataCallback: (data) async { if (data != null) { final timeline = driver.Timeline.fromJson( data['scrolling_timeline'] as Map<String, dynamic>, ); final summary = driver.TimelineSummary.summarize(timeline); await summary.writeTimelineToFile( 'scrolling_timeline', pretty: true, includeSummary: true, ); } }, ); }integration_test/scrolling_test.dart:
import 'package:flutter/material.dart'; import 'package:flutter_test/flutter_test.dart'; import 'package:integration_test/integration_test.dart'; import 'package:your_package/main.dart'; void main() { final binding = IntegrationTestWidgetsFlutterBinding.ensureInitialized(); testWidgets('Performance profiling test', (tester) async { await tester.pumpWidget(const MyApp()); final listFinder = find.byType(Scrollable); final itemFinder = find.byKey(const ValueKey('target_item')); await binding.traceAction(() async { await tester.scrollUntilVisible( itemFinder, 500.0, scrollable: listFinder, ); }, reportKey: 'scrolling_timeline'); }); }Run the test using:
flutter drive --driver=test_driver/perf_driver.dart --target=integration_test/scrolling_test.dart --profile --no-dds -
Optimize UI Thread (Build Costs) If the UI thread exceeds 8ms per frame, refactor the widget tree:
- Localize State: Move
setStatecalls as low in the widget tree as possible. - Use
const: Applyconstconstructors to short-circuit rebuild traversals. - String Building: Replace
+operators in loops withStringBuffer.
// BAD: Rebuilds entire widget tree setState(() { _counter++; }); // GOOD: Encapsulated state class CounterWidget extends StatefulWidget { ... } // Inside CounterWidget: setState(() { _counter++; });// GOOD: Efficient string building final buffer = StringBuffer(); for (int i = 0; i < 1000; i++) { buffer.write('Item $i'); } final result = buffer.toString(); - Localize State: Move
-
Optimize Raster Thread (Rendering Costs) If the Raster thread exceeds 8ms per frame, eliminate expensive painting operations:
- Replace
Opacitywidgets with semitransparent colors where possible. - Replace
Opacityin animations withAnimatedOpacityorFadeInImage. - Avoid
Clip.antiAliasWithSaveLayer. UseborderRadiusproperties on containers instead of explicit clipping widgets.
// BAD: Expensive Opacity widget Opacity( opacity: 0.5, child: Container(color: Colors.red), ) // GOOD: Semitransparent color Container(color: Colors.red.withOpacity(0.5)) - Replace
-
Fix Layout and Intrinsic Passes Identify and remove excessive layout passes caused by intrinsic operations (e.g., asking all children for their size before laying them out).
- Use lazy builders (
ListView.builder,GridView.builder) for long lists. - Avoid
ShrinkWrap: trueon scrollables unless absolutely necessary.
- Use lazy builders (
-
Handle Framework Breaking Changes (Validate-and-Fix) Ensure the application complies with recent Flutter optimization changes regarding
LayoutBuilderandOverlayEntry. These widgets no longer rebuild implicitly.- Validate: Check if
LayoutBuilderorOverlayEntryUI fails to update. - Fix: Wrap the state modification triggering the update in an explicit
setState.
// FIX: Explicit setState for Overlay/Route changes final newLabel = await Navigator.pushNamed(context, '/bar'); setState(() { buttonLabel = newLabel; }); - Validate: Check if
-
Web-Specific Profiling If profiling for Web, inject timeline events into Chrome DevTools by adding these flags to
main()beforerunApp():import 'package:flutter/widgets.dart'; import 'package:flutter/rendering.dart'; void main() { debugProfileBuildsEnabled = true; debugProfileBuildsEnabledUserWidgets = true; debugProfileLayoutsEnabled = true; debugProfilePaintsEnabled = true; runApp(const MyApp()); }STOP AND ASK THE USER: "Have you captured the Chrome DevTools performance profile? Please share the timeline event bottlenecks if you need specific refactoring."
Constraints
- NEVER profile performance in Debug mode. Always use
--profilemode on a physical device. - NEVER override
operator ==onWidgetobjects. It results in O(N²) behavior and degrades performance. Rely onconstcaching instead. - NEVER put a subtree in an
AnimatedBuilderthat does not depend on the animation. Build the static part once and pass it as thechildparameter. - DO NOT use constructors with a concrete
Listof children (e.g.,Column,ListView) if most children are off-screen. Always use.builderconstructors for lazy loading. - DO NOT use
saveLayer()unless absolutely necessary (e.g., dynamic overlapping shapes with transparency). Precalculate and cache static overlapping shapes.
How to use flutter-performance on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add flutter-performance
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches flutter-performance from GitHub repository flutter/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate flutter-performance. Access the skill through slash commands (e.g., /flutter-performance) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★69 reviews- ★★★★★Michael Bansal· Dec 28, 2024
flutter-performance is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Valentina Gupta· Dec 16, 2024
We added flutter-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Dec 12, 2024
flutter-performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Kim· Dec 12, 2024
Keeps context tight: flutter-performance is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Singh· Dec 4, 2024
I recommend flutter-performance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Michael Ghosh· Nov 23, 2024
Solid pick for teams standardizing on skills: flutter-performance is focused, and the summary matches what you get after install.
- ★★★★★Michael Gill· Nov 19, 2024
flutter-performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Anika Torres· Nov 15, 2024
Registry listing for flutter-performance matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Camila Abebe· Nov 7, 2024
Keeps context tight: flutter-performance is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Rahul Santra· Nov 3, 2024
flutter-performance is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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